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Little is known about the relationships between eating competence (intra-individual approach to eating and food-related attitudes and behaviors that entrain positive bio-psychosocial outcomes) and sleep behaviors and quality in college students, a high-risk group for poor eating habits, weight gain, and inadequate sleep. Thus, data from full-time college students (N=1035; 82% White; 61% female) aged 18-24 years from 5 U.S. universities were obtained from online questionnaires (eating competence (ecSI), Pittsburg Sleep Quality Index (PSQI), physical activity, demographics) and physical assessments (measured height, weight), to explore sleep behavior and quality between eating-competent (EC; ecSI score≥32) and non-EC groups (ecSI<32). Generalized linear models controlling for gender, body mass index, and physical activity were utilized. A higher proportion of those in the EC group reported adequate sleep quality (67% vs. 57% in non-EC, p=0.001), sleep duration of ≥7 h nightly (58% vs. 50% in non-EC, p=0.007), and infrequent daytime dysfunction (72% vs. 65% in non-EC, p=0.02). When ecSI scores were grouped as tertiles, those in the highest tertile reported a higher prevalence of no sleep disturbances (7% vs. 2% in the lowest ecSI tertile, p=0.006) and lower prevalence of sleep medication use (10% vs. 15% in the lowest ecSI tertile, p=0.04). Results suggest that competent eaters are more likely to have better overall sleep quality and fewer sleep-related issuescompared to less competent eaters. These findings may inform future longitudinal studies, and health promotion and weight management interventions for young adults., (Copyright © 2015 Elsevier Ltd. All rights reserved.)

Purpose: To examine relationships of sleep, eating, and exercise behaviors; work time pressures; and sociodemographic characteristics by weight status (healthy weight [body mass index or BMI < 25] vs. overweight [BMI ≥ 25]) of young adults., Design: Cross-sectional., Setting: Nine U.S. universities., Subjects: Enrolled college students (N = 1252; 18-24 years; 80% white; 59% female)., Measures: Survey included the Pittsburgh Sleep Quality Index (PSQI), Three-Factor Eating Questionnaire (TFEQ), Satter Eating Competence Inventory (ecSI), National Cancer Institute Fruit/Vegetable Screener, International Physical Activity Questionnaire, Work Time Pressure items, and sociodemographic characteristics., Analysis: Chi-square and t-tests determined significant bivariate associations of sociodemographics, sleep behaviors, eating behaviors, physical activity behavior, and work time pressures with weight status (i.e., healthy vs. overweight/obese). Statistically significant bivariate associations with weight status were then entered into a multivariate logistic regression model that estimated associations with being overweight/obese., Results: Sex (female), race (nonwhite), older age, higher Global PSQI score, lower ecSI total score, and higher TFEQ Emotional Eating Scale score were significantly (p < .05) associated with overweight/obesity in bivariate analyses. Multivariate logistic regression analysis showed that sex (female; odds ratio [OR] = 2.05, confidence interval [CI] = 1.54-2.74), older age (OR = 1.35, CI = 1.21-1.50), higher Global PSQI score (OR = 1.07, CI = 1.01-1.13), and lower ecSI score (OR = .96, CI = .94-.98), were significantly (p < .05) associated with overweight/obesity., Conclusion: Findings suggest that obesity prevention interventions for college students should include an education component to emphasize the importance of overall sleep quality and improving eating competence.

Objective: To evaluate the motivational effect of the Project WebHealth study procedures and intervention components on weight-related health behavior changes in male and female college students., Design: Process evaluation., Setting: Eight universities in the United States., Participants: Project WebHealth participants (n = 653; 29% men)., Main Outcome Measures: Participants rated motivational effects of study procedures and intervention components. Participants were grouped into outcome-based health behavior categories based on achievement of desired targets for fruit and vegetable intake, physical activity, and/or body weight., Analysis: Differences in motivation from each procedure and component were analyzed by gender- and outcome-based health behavior category., Results: Women were generally more motivated than men. Compared to those who did not meet any target health behaviors, men with improved health outcomes (68%) were significantly more motivated by the skills to fuel the body lesson, goal setting, and research snippets. Their female counterparts (63%) were significantly more motivated by the lessons on body size and eating enjoyment, and by the suggested weekly activities., Conclusions and Implications: Specific study procedures and components of Project WebHealth motivated study participants to improve their weight-related health behaviors, and they differed by gender. Findings support the need for gender-tailored interventions in this population., (Copyright © 2013 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.)

Purpose: To identify impact of an online nutrition and physical activity program for college students., Design: Randomized, controlled trial using online questionnaires and on-site physical and fitness assessments with measurement intervals of 0 (baseline), 3 (postintervention), and 15 months (follow-up)., Setting: Online intervention delivered to college students; a centralized Web site was used for recruitment, data collection, data management, and intervention delivery., Subjects: College students (18-24 years old, n = 1689), from eight universities (Michigan State University, South Dakota State University, Syracuse University, The Pennsylvania State University, Tuskegee University, University of Rhode Island, University of Maine, and University of Wisconsin)., Intervention: A 10-lesson curriculum focusing on healthful eating and physical activity, stressing nondieting principles such as size acceptance and eating competence (software developer: Rainstorm, Inc, Orono, Maine)., Measures: Measurements included anthropometrics, cardiorespiratory fitness, fruit/vegetable (FV) intake, eating competence, physical activity, and psychosocial stress., Analysis: Repeated measures analysis of variance for outcome variables., Results: Most subjects were white, undergraduate females (63%), with 25% either overweight or obese. Treatment group completion rate for the curriculum was 84%. Over 15 months, the treatment group had significantly higher FV intake (+.5 cups/d) and physical activity participation (+270 metabolic equivalent minutes per week) than controls. For both groups, anthropometric values and stress increased, and fitness levels decreased. Gender differences were present for most variables. First-year males and females gained more weight than participants in other school years., Conclusion: A 10-week online nutrition and physical activity intervention to encourage competence in making healthful food and eating decisions had a positive, lasting effect on FV intake and maintained baseline levels of physical activity in a population that otherwise experiences significant declines in these healthful behaviors.

Weight gain and an increase in overweight and obesity in college students raise serious health concerns. Weight management interventions for college-age men and women might be more effective if they were tailored to subgroups of students with similar behavioral and psychosocial characteristics associated with body weight status. The purpose of this study was to use cluster analysis to identify homogenous subgroups of college-aged men and women enrolled in a weight gain prevention study (Project WebHealth) using baseline data collected in 2008. Project WebHealth was a 15-month nutrition and physical activity intervention designed to decrease the rate of unwanted weight gain in 1,689 college students at eight geographically diverse universities in the United States. Outcome measures included anthropometrics, fruit and vegetable intake, physical activity, cardiorespiratory fitness, and psychosocial variables associated with weight status in college students. Cluster analysis was performed separately by sex using a two-step clustering procedure using weight-related eating and exercise behaviors and psychosocial variables. Cluster groupings were validated against students' measured weight status and waist circumference as indicators of health risk. The study design was cross-sectional. Results showed that three similar clusters were identified for each sex. Validity of the cluster solution was supported by significant group differences in body mass index and waist circumference with the High Risk cluster at elevated health risk compared to the others. For men, variability in eating competence and cognitive restraint scores contributed most to the difference between clusters, whereas for women, emotional eating and uncontrolled eating scores did. These findings could be used to improve effectiveness of messages and interventions by tailoring them to subgroups of college students with similar behavioral and psychosocial characteristics associated with elevated health risk., (Copyright © 2011 American Dietetic Association. Published by Elsevier Inc. All rights reserved.)

Objective: To identify barriers and enablers for healthful weight management among college students., Design: Sixteen on-line focus groups, homogeneous by sex and university., Setting: Eight universities in 8 states., Participants: College students (N = 115; 55% female; mean age 19.7 +/- 1.6)., Analysis: Qualitative software, Nvivo version 2 (QSR International, Victoria, Australia, 2002), was used; similar codes were grouped together and categorized using an ecological model., Results: Males and females cited the same barriers to weight management: intrapersonal (eg, temptation and lack of discipline); interpersonal (social situations); and environmental (eg, time constraints, ready access to unhealthful food). Similar enablers were identified by sex: intrapersonal (eg, regulating food intake, being physically active); interpersonal (social support); and environmental (eg, university's environment supports physical activity). More barriers than enablers were given, indicating that these college students were more sensitive to barriers than the enablers for weight management. Factors viewed by some students as barriers to weight management were viewed as enablers by others., Conclusions and Implications: When designing weight management interventions for college students, sex specificity may not be as important as considering that a barrier for one student may be an enabler for another. From an ecological perspective, individually focused interventions must be implemented in conjunction with environmental-level interventions to facilitate behavior change.